{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pylab as plt\n",
    "plt.style.use('seaborn')\n",
    "import seaborn as sns\n",
    "\n",
    "from tsfresh import extract_features\n",
    "from tsfresh.utilities.dataframe_functions import make_forecasting_frame\n",
    "from sklearn.ensemble import AdaBoostRegressor\n",
    "from tsfresh.utilities.dataframe_functions import impute\n",
    "\n",
    "# Fix needed to pandas datareader\n",
    "pd.core.common.is_list_like = pd.api.types.is_list_like\n",
    "import pandas_datareader.data as web\n",
    "import datetime\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collect the data for the google stock "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5y\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>11.6658</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>11.5649</td>\n",
       "      <td>11.7499</td>\n",
       "      <td>38618524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>11.7499</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>11.3630</td>\n",
       "      <td>11.5396</td>\n",
       "      <td>50267536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>11.4051</td>\n",
       "      <td>11.4051</td>\n",
       "      <td>10.9761</td>\n",
       "      <td>11.0266</td>\n",
       "      <td>61285453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>10.8500</td>\n",
       "      <td>10.9677</td>\n",
       "      <td>10.5976</td>\n",
       "      <td>10.6817</td>\n",
       "      <td>57846688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>10.9761</td>\n",
       "      <td>11.0182</td>\n",
       "      <td>10.5135</td>\n",
       "      <td>10.5472</td>\n",
       "      <td>46199413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               open     high      low    close    volume\n",
       "date                                                    \n",
       "2016-01-04  11.6658  11.7752  11.5649  11.7499  38618524\n",
       "2016-01-05  11.7499  11.7752  11.3630  11.5396  50267536\n",
       "2016-01-06  11.4051  11.4051  10.9761  11.0266  61285453\n",
       "2016-01-07  10.8500  10.9677  10.5976  10.6817  57846688\n",
       "2016-01-08  10.9761  11.0182  10.5135  10.5472  46199413"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start = datetime.datetime(2016, 1, 1)\n",
    "end = datetime.datetime(2017, 1, 1)\n",
    "\n",
    "# Need to use iex instead of google\n",
    "x = web.DataReader(\"F\", 'iex', start, end)\n",
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 252 entries, 2016-01-04 to 2016-12-30\n",
      "Data columns (total 5 columns):\n",
      "open      252 non-null float64\n",
      "high      252 non-null float64\n",
      "low       252 non-null float64\n",
      "close     252 non-null float64\n",
      "volume    252 non-null int64\n",
      "dtypes: float64(4), int64(1)\n",
      "memory usage: 11.8+ KB\n"
     ]
    }
   ],
   "source": [
    "x.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x.drop(\"volume\", axis=1).plot(figsize=(15, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, we loaded the google stock for one year. Now, we want to predict the High column."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create forecasting frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df_shift, y = make_forecasting_frame(x[\"high\"], kind=\"price\", max_timeshift=20, rolling_direction=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>value</th>\n",
       "      <th>id</th>\n",
       "      <th>kind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4579</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>price</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4329</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>price</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4580</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>price</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4080</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>price</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4330</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>11.7752</td>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>price</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            time    value          id   kind\n",
       "4579  2016-01-04  11.7752  2016-01-05  price\n",
       "4329  2016-01-04  11.7752  2016-01-06  price\n",
       "4580  2016-01-05  11.7752  2016-01-06  price\n",
       "4080  2016-01-04  11.7752  2016-01-07  price\n",
       "4330  2016-01-05  11.7752  2016-01-07  price"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_shift.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4830, 4)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_shift.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`df_shift` is ready to be passed into the feature extraction process in tsfresh "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "X = extract_features(df_shift, column_id=\"id\", column_sort=\"time\", column_value=\"value\", impute_function=impute,\n",
    "                     show_warnings=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(251, 794)\n",
      "(251, 347)\n"
     ]
    }
   ],
   "source": [
    "# drop constant features\n",
    "print(X.shape)\n",
    "X = X.loc[:, X.apply(pd.Series.nunique) != 1] \n",
    "print(X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add last value as feature\n",
    "X[\"feature_last_value\"] = y.shift(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop first line\n",
    "X = X.iloc[1:, ]\n",
    "y = y.iloc[1: ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>variable</th>\n",
       "      <th>value__abs_energy</th>\n",
       "      <th>value__absolute_sum_of_changes</th>\n",
       "      <th>value__agg_autocorrelation__f_agg_\"mean\"</th>\n",
       "      <th>value__agg_autocorrelation__f_agg_\"median\"</th>\n",
       "      <th>value__agg_autocorrelation__f_agg_\"var\"</th>\n",
       "      <th>value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"intercept\"</th>\n",
       "      <th>value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"rvalue\"</th>\n",
       "      <th>value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"slope\"</th>\n",
       "      <th>value__agg_linear_trend__f_agg_\"max\"__chunk_len_5__attr_\"intercept\"</th>\n",
       "      <th>value__agg_linear_trend__f_agg_\"max\"__chunk_len_5__attr_\"rvalue\"</th>\n",
       "      <th>...</th>\n",
       "      <th>value__symmetry_looking__r_0.75</th>\n",
       "      <th>value__symmetry_looking__r_0.8</th>\n",
       "      <th>value__symmetry_looking__r_0.8500000000000001</th>\n",
       "      <th>value__symmetry_looking__r_0.9</th>\n",
       "      <th>value__symmetry_looking__r_0.9500000000000001</th>\n",
       "      <th>value__time_reversal_asymmetry_statistic__lag_1</th>\n",
       "      <th>value__time_reversal_asymmetry_statistic__lag_2</th>\n",
       "      <th>value__time_reversal_asymmetry_statistic__lag_3</th>\n",
       "      <th>value__variance</th>\n",
       "      <th>feature_last_value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>277.310670</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.7519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>11.41009</td>\n",
       "      <td>-0.175422</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.7752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>407.386976</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>-0.625000</td>\n",
       "      <td>-0.625000</td>\n",
       "      <td>0.140625</td>\n",
       "      <td>11.7519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>11.41009</td>\n",
       "      <td>-0.175422</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-101.019783</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030439</td>\n",
       "      <td>11.4051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>527.677419</td>\n",
       "      <td>0.8075</td>\n",
       "      <td>-0.612852</td>\n",
       "      <td>-0.783745</td>\n",
       "      <td>0.483387</td>\n",
       "      <td>11.7519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>11.41009</td>\n",
       "      <td>-0.175422</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-155.236605</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.110586</td>\n",
       "      <td>10.9677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>649.078151</td>\n",
       "      <td>0.8580</td>\n",
       "      <td>-0.558445</td>\n",
       "      <td>-0.804101</td>\n",
       "      <td>0.562109</td>\n",
       "      <td>11.7519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>11.41009</td>\n",
       "      <td>-0.175422</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-135.208104</td>\n",
       "      <td>-196.790482</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.122709</td>\n",
       "      <td>11.0182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-12</th>\n",
       "      <td>765.344770</td>\n",
       "      <td>1.0935</td>\n",
       "      <td>-0.583303</td>\n",
       "      <td>-0.754325</td>\n",
       "      <td>0.672677</td>\n",
       "      <td>11.7519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0348</td>\n",
       "      <td>11.77520</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-112.489902</td>\n",
       "      <td>-221.171600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.153192</td>\n",
       "      <td>10.7827</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 348 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "variable    value__abs_energy  value__absolute_sum_of_changes  \\\n",
       "id                                                              \n",
       "2016-01-06         277.310670                          0.0000   \n",
       "2016-01-07         407.386976                          0.3701   \n",
       "2016-01-08         527.677419                          0.8075   \n",
       "2016-01-11         649.078151                          0.8580   \n",
       "2016-01-12         765.344770                          1.0935   \n",
       "\n",
       "variable    value__agg_autocorrelation__f_agg_\"mean\"  \\\n",
       "id                                                     \n",
       "2016-01-06                                  0.000000   \n",
       "2016-01-07                                 -0.625000   \n",
       "2016-01-08                                 -0.612852   \n",
       "2016-01-11                                 -0.558445   \n",
       "2016-01-12                                 -0.583303   \n",
       "\n",
       "variable    value__agg_autocorrelation__f_agg_\"median\"  \\\n",
       "id                                                       \n",
       "2016-01-06                                    0.000000   \n",
       "2016-01-07                                   -0.625000   \n",
       "2016-01-08                                   -0.783745   \n",
       "2016-01-11                                   -0.804101   \n",
       "2016-01-12                                   -0.754325   \n",
       "\n",
       "variable    value__agg_autocorrelation__f_agg_\"var\"  \\\n",
       "id                                                    \n",
       "2016-01-06                                 0.000000   \n",
       "2016-01-07                                 0.140625   \n",
       "2016-01-08                                 0.483387   \n",
       "2016-01-11                                 0.562109   \n",
       "2016-01-12                                 0.672677   \n",
       "\n",
       "variable    value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"intercept\"  \\\n",
       "id                                                                                 \n",
       "2016-01-06                                            11.7519                      \n",
       "2016-01-07                                            11.7519                      \n",
       "2016-01-08                                            11.7519                      \n",
       "2016-01-11                                            11.7519                      \n",
       "2016-01-12                                            11.7519                      \n",
       "\n",
       "variable    value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"rvalue\"  \\\n",
       "id                                                                              \n",
       "2016-01-06                                                1.0                   \n",
       "2016-01-07                                                1.0                   \n",
       "2016-01-08                                                1.0                   \n",
       "2016-01-11                                                1.0                   \n",
       "2016-01-12                                                1.0                   \n",
       "\n",
       "variable    value__agg_linear_trend__f_agg_\"max\"__chunk_len_10__attr_\"slope\"  \\\n",
       "id                                                                             \n",
       "2016-01-06                                             0.0348                  \n",
       "2016-01-07                                             0.0348                  \n",
       "2016-01-08                                             0.0348                  \n",
       "2016-01-11                                             0.0348                  \n",
       "2016-01-12                                             0.0348                  \n",
       "\n",
       "variable    value__agg_linear_trend__f_agg_\"max\"__chunk_len_5__attr_\"intercept\"  \\\n",
       "id                                                                                \n",
       "2016-01-06                                           11.41009                     \n",
       "2016-01-07                                           11.41009                     \n",
       "2016-01-08                                           11.41009                     \n",
       "2016-01-11                                           11.41009                     \n",
       "2016-01-12                                           11.77520                     \n",
       "\n",
       "variable    value__agg_linear_trend__f_agg_\"max\"__chunk_len_5__attr_\"rvalue\"  \\\n",
       "id                                                                             \n",
       "2016-01-06                                          -0.175422                  \n",
       "2016-01-07                                          -0.175422                  \n",
       "2016-01-08                                          -0.175422                  \n",
       "2016-01-11                                          -0.175422                  \n",
       "2016-01-12                                          -1.000000                  \n",
       "\n",
       "variable           ...          value__symmetry_looking__r_0.75  \\\n",
       "id                 ...                                            \n",
       "2016-01-06         ...                                      0.0   \n",
       "2016-01-07         ...                                      1.0   \n",
       "2016-01-08         ...                                      1.0   \n",
       "2016-01-11         ...                                      1.0   \n",
       "2016-01-12         ...                                      1.0   \n",
       "\n",
       "variable    value__symmetry_looking__r_0.8  \\\n",
       "id                                           \n",
       "2016-01-06                             0.0   \n",
       "2016-01-07                             1.0   \n",
       "2016-01-08                             1.0   \n",
       "2016-01-11                             1.0   \n",
       "2016-01-12                             1.0   \n",
       "\n",
       "variable    value__symmetry_looking__r_0.8500000000000001  \\\n",
       "id                                                          \n",
       "2016-01-06                                            0.0   \n",
       "2016-01-07                                            1.0   \n",
       "2016-01-08                                            1.0   \n",
       "2016-01-11                                            1.0   \n",
       "2016-01-12                                            1.0   \n",
       "\n",
       "variable    value__symmetry_looking__r_0.9  \\\n",
       "id                                           \n",
       "2016-01-06                             0.0   \n",
       "2016-01-07                             1.0   \n",
       "2016-01-08                             1.0   \n",
       "2016-01-11                             1.0   \n",
       "2016-01-12                             1.0   \n",
       "\n",
       "variable    value__symmetry_looking__r_0.9500000000000001  \\\n",
       "id                                                          \n",
       "2016-01-06                                            0.0   \n",
       "2016-01-07                                            1.0   \n",
       "2016-01-08                                            1.0   \n",
       "2016-01-11                                            1.0   \n",
       "2016-01-12                                            1.0   \n",
       "\n",
       "variable    value__time_reversal_asymmetry_statistic__lag_1  \\\n",
       "id                                                            \n",
       "2016-01-06                                         0.000000   \n",
       "2016-01-07                                      -101.019783   \n",
       "2016-01-08                                      -155.236605   \n",
       "2016-01-11                                      -135.208104   \n",
       "2016-01-12                                      -112.489902   \n",
       "\n",
       "variable    value__time_reversal_asymmetry_statistic__lag_2  \\\n",
       "id                                                            \n",
       "2016-01-06                                         0.000000   \n",
       "2016-01-07                                         0.000000   \n",
       "2016-01-08                                         0.000000   \n",
       "2016-01-11                                      -196.790482   \n",
       "2016-01-12                                      -221.171600   \n",
       "\n",
       "variable    value__time_reversal_asymmetry_statistic__lag_3  value__variance  \\\n",
       "id                                                                             \n",
       "2016-01-06                                              0.0         0.000000   \n",
       "2016-01-07                                              0.0         0.030439   \n",
       "2016-01-08                                              0.0         0.110586   \n",
       "2016-01-11                                              0.0         0.122709   \n",
       "2016-01-12                                              0.0         0.153192   \n",
       "\n",
       "variable    feature_last_value  \n",
       "id                              \n",
       "2016-01-06             11.7752  \n",
       "2016-01-07             11.4051  \n",
       "2016-01-08             10.9677  \n",
       "2016-01-11             11.0182  \n",
       "2016-01-12             10.7827  \n",
       "\n",
       "[5 rows x 348 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Fit Adaboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 150/150 [00:12<00:00, 12.00it/s]\n"
     ]
    }
   ],
   "source": [
    "ada = AdaBoostRegressor(n_estimators=10)\n",
    "y_pred = [np.NaN] * len(y)\n",
    "\n",
    "isp = 100   # index of where to start the predictions\n",
    "assert isp > 0\n",
    "\n",
    "for i in tqdm(range(isp, len(y))):\n",
    "    \n",
    "    ada.fit(X.iloc[:i], y[:i])\n",
    "    y_pred[i] = ada.predict(X.iloc[i, :].values.reshape((1, -1)))[0]\n",
    "    \n",
    "y_pred = pd.Series(data=y_pred, index=y.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>true</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>11.4051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.9677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.7827</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.9677</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "            pred     true\n",
       "date                     \n",
       "2016-01-06   NaN  11.4051\n",
       "2016-01-07   NaN  10.9677\n",
       "2016-01-08   NaN  11.0182\n",
       "2016-01-11   NaN  10.7827\n",
       "2016-01-12   NaN  10.9677"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe of predictions and true values\n",
    "ys = pd.concat([y_pred, y], axis = 1).rename(columns = {0: 'pred', 'value': 'true'})\n",
    "\n",
    "# Convert index to a datetime\n",
    "ys.index = pd.to_datetime(ys.index)\n",
    "ys.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ys.plot(figsize=(15, 8))\n",
    "plt.title('Predicted and True Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks not too bad. The green curve is the output of the AdaBoost Regressor, the blue curve is the true High value."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we will also inspect last value before the prediction as a benchmark tool, denoted by y-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create column of previous price\n",
    "ys['y-1'] = ys['true'].shift(1)\n",
    "ys[['y-1', 'true']].plot(figsize = (15, 8))\n",
    "plt.title('Benchmark Prediction and True Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE y-1: \t0.10563666666666673\n",
      "MAE ada: \t0.13985072133402535\n"
     ]
    }
   ],
   "source": [
    "print(\"MAE y-1: \\t{}\".format(np.mean(np.abs(np.diff(y))[isp-1:] )))\n",
    "print(\"MAE ada: \\t{}\".format(np.mean(np.abs(y_pred - y)[isp:])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, we are not yet beating the y-1 benchmark, so we need to invest more time into building dedicated features or use a better model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also inspect the relevance of the extracted features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "variable\n",
       "feature_last_value                                                   0.885068\n",
       "value__change_quantiles__f_agg_\"var\"__isabs_True__qh_0.6__ql_0.4     0.014176\n",
       "value__fft_coefficient__coeff_9__attr_\"real\"                         0.006810\n",
       "value__partial_autocorrelation__lag_5                                0.006574\n",
       "value__last_location_of_maximum                                      0.006070\n",
       "value__change_quantiles__f_agg_\"var\"__isabs_False__qh_0.4__ql_0.2    0.006022\n",
       "value__skewness                                                      0.005231\n",
       "value__mean_change                                                   0.005089\n",
       "value__autocorrelation__lag_8                                        0.004851\n",
       "value__time_reversal_asymmetry_statistic__lag_2                      0.004555\n",
       "dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importances = pd.Series(index=X.columns, data=ada.feature_importances_)\n",
    "importances.sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, the minumum value \"feature__maximum\" during the last 10 values had the highest importance to predict the next value of the `High` column"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
